code: def _get_run_fn_lambda(self, num_outs, num_ins):
      eval_string = (
          "lambda run_fn, out0, out1, out2, out3, out4, out5, "
          "in0, in1, in2, in3, in4, in5 : "
          "run_fn("
      )
      for i in range(num_outs):
          eval_string += "out{}".format(i)
          eval_string += ", " if i + 1 != num_outs else ", "
      for i in range(num_ins):
          eval_string += "in{}".format(i)
          eval_string += ", " if i + 1 != num_ins else ")"
      return njit(eval(eval_string))
  
imports: from distutils.version import LooseVersion
  from nvidia.dali import backend
  from nvidia.dali.pipeline import Pipeline
  from nvidia.dali.data_node import DataNode
  from nvidia.dali import ops
  from nvidia.dali import types
  from numba import types
  from numba import njit, cfunc, carray, cuda
  import numpy
  import numba
label_desc: Use image node_id 9 for calling the NumbaFunction obj's underlying member method code with example usage: obj._get_run_fn_lambda(num_outs, num_ins) and returns: njit